• Title/Summary/Keyword: Feasibility Means

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Construction of RDPPL / SAFE based on Quantification of Feasibility Function (Feasibility Function의 정량화(定量化)에 근거한 RDPPL/SAFE의 기능구축(機能構築))

  • Gwon, Cheol-Sin
    • Journal of Korean Institute of Industrial Engineers
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    • v.8 no.2
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    • pp.3-14
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    • 1982
  • The purpose of this study is to establish the function of a sub-system for System Alternatives Feasibility Estimation (SAFE) in R & D Project Planning Phase (RDPPL). It is the fundamental function of the RDPPL/SAFE that selected an optimal planning system alternative of all, considered at RDPPL/SAS, by logical means in view of feasibility. In this paper, improving the function of RDPPL/SAFE, mathmatical models in order to quantify methods determining and integrating the feasibility funtion in each terminal system with a multi-stage process are examined.

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Evaluating The Validity of the Contents of the Separation of Prescribing and Dispensing roles Policy (의약분업 정책내용의 타당성 평가)

  • Lee, Sun-Hee;Jung, Sang-Hyuk;Lee, Hye-Jean;Koh, Kwang-Wook;Park, Si-Woon;Shin, Eui-Chul;Chung, Woo-Jin;Hwang, Jin-Mee
    • Korea Journal of Hospital Management
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    • v.8 no.4
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    • pp.121-148
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    • 2003
  • This study is designed to evaluate the contents of the separation of prescribing and dispensing roles(SPD) policy based on the theoretical backgrounds. The results are as follows; Considering the purpose of SPD policy, 'increasing the efficiency in manpower management by separating the role of medical doctor and pharmacist and improving the quality of SPD service through specialization of function' as a policy objective is valid and very important agenda in health care. But the objectives are not working well by no keeping the detail means to actualize it. Also, some policy objectives are unclear or inappropriate and it makes the focus of that policy obscure or misleads inadequate policy alternatives. In terms of means of policy, it is evaluated to have some limits in effectiveness, efficiency, equity, rationality, technical feasibility, economic feasibility, administrative feasibility, social and time feasibility. In conclusion, it's necessary to investigate the some problem mentioned in this paper with empirical evidence. Also, it should be needed to improve the validity of policy by correcting policy objectives and means in execution of policy.

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Approximate k values using Repulsive Force without Domain Knowledge in k-means

  • Kim, Jung-Jae;Ryu, Minwoo;Cha, Si-Ho
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.3
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    • pp.976-990
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    • 2020
  • The k-means algorithm is widely used in academia and industry due to easy and simple implementation, enabling fast learning for complex datasets. However, k-means struggles to classify datasets without prior knowledge of specific domains. We proposed the repulsive k-means (RK-means) algorithm in a previous study to improve the k-means algorithm, using the repulsive force concept, which allows deleting unnecessary cluster centroids. Accordingly, the RK-means enables to classifying of a dataset without domain knowledge. However, three main problems remain. The RK-means algorithm includes a cluster repulsive force offset, for clusters confined in other clusters, which can cause cluster locking; we were unable to prove RK-means provided optimal convergence in the previous study; and RK-means shown better performance only normalize term and weight. Therefore, this paper proposes the advanced RK-means (ARK-means) algorithm to resolve the RK-means problems. We establish an initialization strategy for deploying cluster centroids and define a metric for the ARK-means algorithm. Finally, we redefine the mass and normalize terms to close to the general dataset. We show ARK-means feasibility experimentally using blob and iris datasets. Experiment results verify the proposed ARK-means algorithm provides better performance than k-means, k'-means, and RK-means.

Robust Optimization of Automotive Seat by Using Constraint Response Surface Model (제한조건 반응표면모델에 의한 자동차 시트의 강건최적설계)

  • 이태희;이광기;구자겸;이광순
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2000.04b
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    • pp.168-173
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    • 2000
  • Design of experiments is utilized for exploring the design space and for building response surface models in order to facilitate the effective solution of multi-objective optimization problems. Response surface models provide an efficient means to rapidly model the trade-off among many conflicting goals. In robust design, it is important not only to achieve robust design objectives but also to maintain the robustness of design feasibility under the effects of variations, called uncertainties. However, the evaluation of feasibility robustness often needs a computationally intensive process. To reduce the computational burden associated with the probabilistic feasibility evaluation, the first-order Taylor series expansions are used to derive individual mean and variance of constraints. For robust design applications, these constraint response surface models are used efficiently and effectively to calculate variances of constraints due to uncertainties. Robust optimization of automotive seat is used to illustrate the approach.

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A Study on the Sensitivity Analysis of the Financial Analysis Item in Apartment Project (공동주택 사업의 수지분석 항목에 대한 민감도 분석에 관한 연구)

  • Kim, Gwang-Ho
    • Korean Journal of Construction Engineering and Management
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    • v.7 no.1 s.29
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    • pp.100-109
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    • 2006
  • Feasibility analysis is a crucial key to success or failure of housing project. Existing feasibility analysis in construction company is based on intuitive approach rather than systematic approach. Usually feasibility analysis in a narrow sense is a financial analysis of project. Feasibility analysis focused in this study is confined to the matter of finance. So, the purpose of this study is to analyze the sensitivity of financial analysis item about profit rate by means of monte carlo simulation and this will improve accuracy of feasibility analysis and decision making.

Feasibility Study of Non Local Means Noise Reduction Algorithm with Improved Time Resolution in Light Microscopic Image (광학 현미경 영상 기반 시간 분해능이 향상된 비지역적 평균 노이즈 제거 알고리즘 가능성 연구)

  • Lee, Youngjin;Kim, Ji-Youn
    • Journal of the Korean Society of Radiology
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    • v.13 no.4
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    • pp.623-628
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    • 2019
  • The aim of this study was to design fast non local means (FNLM) noise reduction algorithm and to confirm its application feasibility in light microscopic image. For that aim, we acquired mouse first molar image and compared between previous widely used noise reduction algorithm and our proposed FNLM algorithm in acquired light microscopic image. Contrast to noise ratio, coefficient of variation, and no reference-based evaluation parameter such as natural image quality evaluator (NIQE) and blind/referenceless image spatial quality evaluator (BRISQUE) were used in this study. According to the result, our proposed FNLM noise reduction algorithm can achieve excellent result in all evaluation parameters. In particular, it was confirmed that the NIQE and BRISQUE evaluation parameters for analyzing the overall morphologcal image of the tooth were 1.14 and 1.12 times better than the original image, respectively. In conclusion, we demonstrated the usefulness and feasibility of FNLM noise reduction algorithm in light microscopic image of small animal tooth.

Classification Tree-Based Feature-Selective Clustering Analysis: Case of Credit Card Customer Segmentation (분류나무를 활용한 군집분석의 입력특성 선택: 신용카드 고객세분화 사례)

  • Yoon Hanseong
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.19 no.4
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    • pp.1-11
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    • 2023
  • Clustering analysis is used in various fields including customer segmentation and clustering methods such as k-means are actively applied in the credit card customer segmentation. In this paper, we summarized the input features selection method of k-means clustering for the case of the credit card customer segmentation problem, and evaluated its feasibility through the analysis results. By using the label values of k-means clustering results as target features of a decision tree classification, we composed a method for prioritizing input features using the information gain of the branch. It is not easy to determine effectiveness with the clustering effectiveness index, but in the case of the CH index, cluster effectiveness is improved evidently in the method presented in this paper compared to the case of randomly determining priorities. The suggested method can be used for effectiveness of actively used clustering analysis including k-means method.

A Study on the Effect of Preliminary Feasibility Study System Improvement (예비타당성조사 제도 개선 효과에 관한 연구)

  • Park, Seung Jun
    • Smart Media Journal
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    • v.11 no.7
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    • pp.70-75
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    • 2022
  • In 2019, the government improved the system to reduce the maximum weight of economic feasibility items in the comprehensive evaluation from 50% to 45% in order to improve the problem that economic feasibility is a decisive factor in passing the preliminary feasibility study. This study is to analyze the effect of system improvement in 2019 and verified the difference between before and after system improvement. As a result of regression analysis and correlation analysis, both periods showed high correlation, and the difference through Z-test was analyzed as not statistically significant. This result means that institutional improvement to reduce the impact of economics was not effective. Therefore, it is judged that it is necessary to discuss the design of a more effective comprehensive evaluation study through research such as reevaluating the weights of each item in the comprehensive evaluation in various ways in existing projects.

A Study on Business Feasibility for Marine Leisure Ships (해양레저선박에 대한 사업 타당성 분석 연구)

  • Jung-Suk Choi
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2022.11a
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    • pp.300-301
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    • 2022
  • In order to improve the accessibility to the island through marine leisure ships, it is necessary to evaluate objective business feasibility of the ship's operation. In this study, costs and income were estimated based on the operating expenses and freight standards of similar marine leisure ships in operation, and based on this, the feasibility of the project was empirically analyzed through B/C analysis, NPV, and IRR. In addition, sensitivity analysis was performed for various variables to understand the requirements for securing minimum economic feasibility. As a result of the study, in case of new building ship, the B/C ratio was estimated to be 1.042, NPV was estimated to be KRW 1.93 billion, and IRR was estimated to be 2.1% which means that profitability was secured.

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Availability Evaluation System for Remodeling of Existing Apartment Houses (기존 공동주택의 리모델링 용이성 평가 체계)

  • Cha, Woo-Cul;Lim, Byung-Wook;Shin, Chang-Hyun;Shin, Byung-Hyun;Lee, Jea-Sauk;Chun, Jae-Youl
    • Korean Journal of Construction Engineering and Management
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    • v.9 no.5
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    • pp.204-213
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    • 2008
  • Apartments production without a previous example is existed by suddenly rapid growth of population and city. So this mass producted aged Apartments have many problems that is aged and staleness. Confrontation of obsolete and staleness is Build&Scrap and Remodeling. But Remodeling is much better than Build&Scrap Because Remodeling has Social, Economical, Environmental merits. This Research is Feasibility Evaluation System on an object of Remodeling. Feasibility Evaluation means Possibility on Objective action on aiming action in other words. It means degree of difficulty about purpose to act. Remodeling is based on existing apartment, to improve ability and performance of existed aged Apartment and by engineering technique and method. A point of view, development of Remodeling technique and popularization is necessary as well as Remodeling Plan and Construction technique of applied Existing building logical Approach is that. The purpose of this paper is handling allowance range of Remodeling Plan and Achievement accomplishment Feasibility Evaluation of purpose and objective and Understanding. Remodeling Feasibility is evaluated by two aspects. The first is Macro Level Approach of Remodeling Feasibility Evaluation on a Apartment Complex, and The second is Micro Level Approach of Remodeling Feasibility on each housing part is evaluated about removal and dismantlement.